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adversarial attack

1,853 papers

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Also known as

AA

Co-occurring keywords · papers mentioning both

adversarial robustness (262) adversarial example (212) black-box attack (190) large language model (164) neural network (133) adversarial training (112) adversarial defense (104) adversarial perturbation (104) adversarial learning (103) model robustness (102)

Papers

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization CVPR 2024 Defense Against Adversarial Cloud Attack on Remote Sensing Salient Object Detection WACV 2024 Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay CVPR 2024 DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms NeurIPS 2024 Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability IJCAI 2024 Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World IJCAI 2024 DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios NeurIPS 2024 DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space AAAI 2024 DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection CVPR 2024 Differentiable JPEG: The Devil Is in the Details WACV 2024 DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification NeurIPS 2024 Diffusion Models are Certifiably Robust Classifiers NeurIPS 2024 Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies NeurIPS 2024 Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NeurIPS 2024 Disrupting Diffusion-based Inpainters with Semantic Digression IJCAI 2024 Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing CVPR 2024 Distract Large Language Models for Automatic Jailbreak Attack EMNLP 2024 DistriBlock: Identifying adversarial audio samples by leveraging characteristics of the output distribution UAI 2024 Don’t be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks NAACL 2024 DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers EMNLP 2024 Dynamic Adversarial Attacks on Autonomous Driving Systems RSS 2024 EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning IJCAI 2024 Edit Distance Robust Watermarks via Indexing Pseudorandom Codes NeurIPS 2024 Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024 Efficient Adversarial Training in LLMs with Continuous Attacks NeurIPS 2024